The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 11, 2023

Filed:

Jan. 04, 2021
Applicant:

Netflix, Inc., Los Gatos, CA (US);

Inventors:

Zhi Li, Mountain View, CA (US);

Christos Bampis, Los Gatos, CA (US);

Assignee:

NETFLIX, INC., Los Gatos, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 19/154 (2014.01); H04N 19/91 (2014.01); H04N 21/235 (2011.01); G06N 3/08 (2023.01); G06N 20/20 (2019.01); G06N 20/10 (2019.01); H04N 17/00 (2006.01); G06F 18/2411 (2023.01); G06N 3/045 (2023.01); G06N 5/01 (2023.01);
U.S. Cl.
CPC ...
H04N 19/154 (2014.11); G06F 18/2411 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06N 5/01 (2023.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01); H04N 17/004 (2013.01); H04N 19/91 (2014.11); H04N 21/235 (2013.01);
Abstract

In various embodiments, a prediction application computes a quality score for re-constructed visual content that is derived from visual content. The prediction application generates a frame difference matrix based on two frames included in the re-constructed video content. The prediction application then generates a first entropy matrix based on the frame difference matrix and a first scale. Subsequently, the prediction application computes a first value for a first temporal feature based on the first entropy matrix and a second entropy matrix associated with both the visual content and the first scale. The prediction application computes a quality score for the re-constructed video content based on the first value, a second value for a second temporal feature associated with a second scale, and a machine learning model that is trained using subjective quality scores. The quality score indicates a level of visual quality associated with streamed video content.


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